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Data warehouse ⇄ Database

ClickHouse to YugabyteDB integration — real-time, two-way sync

Keep ClickHouse and YugabyteDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect ClickHouse and YugabyteDB

Connect YugabyteDB and ClickHouse with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want YugabyteDB's rows in ClickHouse, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in YugabyteDB where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in YugabyteDB sync into ClickHouse in real time, and result tables in ClickHouse sync back into YugabyteDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • 02 Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
  • 03 Consolidate data from regional YugabyteDB clusters into one reporting store.
  • 04 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.

Common sync patterns

Operational data in the warehouse, minus the pipeline

Rows from YugabyteDB land in ClickHouse as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in ClickHouse sync into YugabyteDB, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between ClickHouse and YugabyteDB

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

ClickHouse objects YugabyteDB objects How this pairing syncs
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Materialized Views Precomputed query results available in YSQL for read-side shaping. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Databases Namespaces that group tables and scope permissions for sync users. Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. Databases is specific to ClickHouse and Databases and Keyspaces to YugabyteDB — each maps to any object or custom field on the other side.
Views Saved queries used as curated, read-only sync sources. Tables Distributed SQL tables split into tablets; the primary read and write targets. Views is specific to ClickHouse and Tables to YugabyteDB — each maps to any object or custom field on the other side.
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Indexes Global secondary indexes maintained transactionally alongside table writes. Distributed tables is specific to ClickHouse and Indexes to YugabyteDB — each maps to any object or custom field on the other side.
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Schemas Postgres-style namespaces in YSQL used to organize synced data. Dictionaries is specific to ClickHouse and Schemas to YugabyteDB — each maps to any object or custom field on the other side.
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Sequences ID generation objects relevant when syncing writes into YSQL tables. Tables (MergeTree family) is specific to ClickHouse and Sequences to YugabyteDB — each maps to any object or custom field on the other side.

How changes propagate between ClickHouse and YugabyteDB

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

ClickHouse YugabyteDB Interval-based propagation

DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.

DeliveryEach detected change is applied to YugabyteDB as a row-level write, with types converted between the two schemas.

YugabyteDB ClickHouse Sub-second propagation

DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.

DeliveryEach detected change is applied to ClickHouse as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with ClickHouse ⇄ YugabyteDB

Connect ClickHouse and YugabyteDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–YugabyteDB connection.

Real-time

Two-way sync

Changes in ClickHouse or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse or YugabyteDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single ClickHouse or YugabyteDB record.

Observability

Monitoring

Track your ClickHouse ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between ClickHouse and YugabyteDB.

How the ClickHouse and YugabyteDB connectors work

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write

YugabyteDB

Integration surface
SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
Authentication
Database credentials
Change detection
Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works

How to connect ClickHouse to YugabyteDB — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate ClickHouse and YugabyteDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    ClickHouse connected
    YugabyteDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the ClickHouse and YugabyteDB objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · ClickHouse ⇄ YugabyteDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    ClickHouse YugabyteDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

ClickHouse and YugabyteDB integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 463 integrations available for ClickHouse and YugabyteDB.

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